Langxia Liu

1.5k citations
40 papers · 1.2k · h-index 18

Impact in

Papers in

    • RNA modifications and cancer 10
    • RNA Research and Splicing 8
    • Ubiquitin and proteasome pathways 6
    • Cancer-related gene regulation 5

Langxia Liu

40 papers receiving 1.1k citations

Peers

Langxia Liu
Comparison fields: 5 of 97
  • Virology 227
  • Energy Engineering and Power Technology 119
  • Immunology 286
  • Cancer Research 163
  • Catalysis 54
Replace Yoshinori Makino with:
Yoshinori Makino Japan
Annemarie Shibata United States
Manqing Li China
Shaojun Xing China
Yueping Wan United States
Julie Mazzolini France
Pascal Bigey France
Richard H. Tullis United States
Jungwook Hwang South Korea
Langxia Liu relative to Yoshinori Makino Japan Yoshinori Makino's profile →
Citations per field
00.5×50×119×
Yoshinori Makino · 1×
Citations per year

Countries citing papers authored by Langxia Liu

Since Specialization
Citations

This map shows the geographic impact of Langxia Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Langxia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Langxia Liu more than expected).

Fields of papers citing papers by Langxia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Langxia Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Langxia Liu. The network helps show where Langxia Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Langxia Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Langxia Liu Line = papers co-authored together Langxia Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998329
2 2019116
3 201774
4 201172
5 201372
6 201353
7 201043
8 202143
9 201539
10 201627
11 201325
12 201523
13 202322
14 201621
15 201419
16 201419
17 201619
18 201817
19 201417
20 202017

About Langxia Liu

Langxia Liu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Epidemiology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), RNA Research and Splicing (8 papers), Ubiquitin and proteasome pathways (6 papers), interferon and immune responses (5 papers), Cancer-related gene regulation (5 papers), Ferroptosis and cancer prognosis (4 papers), Hydrogen Storage and Materials (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Virology (227 citations), Energy Engineering and Power Technology (119 citations), Immunology (286 citations), Cancer Research (163 citations) and Catalysis (54 citations). Langxia Liu has collaborated with scholars based in China, Australia and France. Frequent co-authors include Serge Bénichou, Clarisse Berlioz‐Torrent, Sylvie Le Gall, Richard Bénarous, Olivier Schwartz, Lars Erdtmann, Jean‐Michel Heard, Xuejuan Gao, Qing‐Yu He and Xuezhang Xiao. Their work appears in journals such as Journal of Alloys and Compounds, International Journal of Oncology, Cell Death and Disease, PROTEOMICS and Biochemistry and Cell Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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